This article provides a comprehensive guide to global optimization methods for model tuning, tailored for researchers and professionals in drug development.
This article provides a comprehensive review of optimization algorithms powering modern computational systems biology.
Parameter estimation is a fundamental yet formidable challenge in building quantitative models of biochemical pathways, essential for metabolic engineering and drug discovery.
This article provides a comprehensive guide to high-throughput data analysis workflows in systems biology, tailored for researchers and drug development professionals.
This article explores the transformative impact of machine learning (ML) on systems biology, offering a comprehensive guide for researchers and drug development professionals.
This article provides a comprehensive exploration of Flux Balance Analysis (FBA) and its cutting-edge applications in metabolic engineering and drug development.
This article provides a comprehensive overview of stochastic modeling techniques for biochemical systems, essential for researchers and drug development professionals.
This article provides a comprehensive overview of the strategies and computational methods for integrating multi-omics data within a systems biology framework.
This article provides a comprehensive guide to dynamic modeling of metabolic networks, bridging foundational concepts with advanced applications.
Parameter estimation is a central challenge in building predictive computational models of biological systems.